Ami Miller
Impact in
- Immunology top 10%
- Complement system in diseases
- Ophthalmology top 5%
- Retinal Diseases and Treatments
Papers in
-
- Protein Degradation and Inhibitors 3
- Glycosylation and Glycoproteins Research 2
- Immunology 11
- Complement system in diseases 8
- Co-authors
- Terence H. Rabbitts (14 shared papers)Nicolas Béry (8 shared papers)Stephen J. Perkins (8 shared papers)Ruodan Nan (7 shared papers)Jayesh Gor (6 shared papers)S.B. Carr (6 shared papers)Azubuike I. Okemefuna (3 shared papers)Carole J. R. Bataille (6 shared papers)
- Journals
- Scientific Reports (5 papers)Nature Communications (3 papers)Journal of Biological Chemistry (3 papers)Molecular Immunology (2 papers)Immunobiology (1 paper)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Ami Miller
27 papers receiving 804 citations
Peers
Comparison fields: 5 of 86
- Immunology 196
- Ophthalmology 72
- Radiology, Nuclear Medicine and Imaging 154
- Hematology 69
- Molecular Biology 442
Countries citing papers authored by Ami Miller
This map shows the geographic impact of Ami Miller's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ami Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ami Miller more than expected).
Fields of papers citing papers by Ami Miller
This network shows the impact of papers produced by Ami Miller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ami Miller. The network helps show where Ami Miller may publish in the future.
Co-authors
The 25 scholars most cited alongside Ami Miller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 107 | |
| 2 | 2019 | 102 | |
| 3 | 2018 | 99 | |
| 4 | 2020 | 83 | |
| 5 | 2011 | 67 | |
| 6 | 2019 | 66 | |
| 7 | 2018 | 45 | |
| 8 | 2011 | 34 | |
| 9 | 2010 | 27 | |
| 10 | 2011 | 25 | |
| 11 | 2021 | 25 | |
| 12 | 2020 | 18 | |
| 13 | 1980 | 15 | |
| 14 | 2021 | 11 | |
| 15 | 2021 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2019 | 10 | |
| 18 | 2017 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2021 | 8 |
About Ami Miller
Ami Miller is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Oncology and Infectious Diseases, having authored 27 papers that have together received 816 indexed citations. Recurring topics across this work include Complement system in diseases (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Erythrocyte Function and Pathophysiology (4 papers), Protein Degradation and Inhibitors (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), HER2/EGFR in Cancer Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Immunology (196 citations), Ophthalmology (72 citations), Radiology, Nuclear Medicine and Imaging (154 citations), Hematology (69 citations) and Molecular Biology (442 citations). Ami Miller has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Terence H. Rabbitts, Nicolas Béry, Stephen J. Perkins, Ruodan Nan, Jayesh Gor, S.B. Carr, Azubuike I. Okemefuna, Carole J. R. Bataille, Angela J. Russell and Camilo Quevedo. Their work appears in journals such as Scientific Reports, Nature Communications, Journal of Biological Chemistry, Molecular Immunology and Immunobiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.